運用資料探勘技術於環境汙染狀況分析－以台中市為例

Analyzing the Application of Data Mining Techniques in Environmental Pollution - A Case Study of Taichung City

林淑真(Shwu-Jen Lin)

指導教授 ： 許昌賢

亞洲大學/管理學院/經營管理學系碩士在職專班/碩士(2009年)

摘要

由於民眾對環保意識的覺醒，使得日益嚴重的公害問題開始受到監測與防治。環境汙染問題如空氣汙染、水汙染、噪音汙染、環境衛生、廢棄物汙染等，已嚴重影響民眾正常生活作息。在過去，政府相關單位在宣導防治汙染時，往往無法明確地針對汙染地區及汙染源進行擬訂相關政策，進而浪費許多不必要的成本。因此，本研究運用資料探勘中關聯法則方法，在環保署公害報案中心陳情資料系統中找尋有用資訊的特性，幫助釐清隱藏於公害事件背後的因子與造成原因之相關性，分析環境永續經營可能途徑，並利用圖形化的方式，簡單明確地說明研究結果，進而促進相關單位進行制定決策，達成有效完善的公害改善計畫。本研究結果指出，行業別中的政府機關、商業與噪音汙染有關聯性，商業、工業與空氣汙染有關聯性，ㄧ般居民與水汙染、廢棄物汙染有關聯性，公共場所與廢棄物汙染有關聯性。

關鍵字

資料探勘 ； 環境汙染 ； 關聯法則

並列摘要

As the public environmental issues, they began monitoring and preventing among the environmental pollution problems. The environmental pollutions such as air pollution, water pollution, noise pollution, sanitation and waste pollution, and those seriously have affected environmental people’s daily life. In the past, government agencies in the advocacy of pollution prevention were not able draw up to related policies between the contaminated areas and pollution sources, so that lots of unnecessary costs was wasted. Therefore, in this study it employed the association rule method in data mining, found the useful characteristics of information from the database systems in Environmental Protection Administration Pollution Report Centre to clear the factors and their relationships of environmental pollution. It analyzes the possible way for sustainable environment, and simply and cleanly illustrates results through graphical approach, and finally offers decision-making for relevant authorities to set up effective plan for environmental pollutions. This study indicates noise pollution has the relations among government departments, and air pollution’s business and air pollution’s business and industry; the general publics water pollution and waste pollution, and public places and waste pollution.

並列關鍵字

Data Mining ； Environmental Pollution ； Association Rule

參考文獻

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